PETROGAS COMPANY: interest expense
Interest expense for PETROGAS COMPANY. Inspect selected reporting periods, original units and SEC filing links; download the financial history.
All PETROGAS COMPANY financial histories
What this measure means
Borrowing costs recognized as interest expense. This is distinct from cash interest paid and may not include every capitalized borrowing cost.
Exact concept: us-gaap:InterestExpense. Each value covers an annual-duration reporting interval, shown with both start and end dates. Different units remain separate; no currency conversion or interpolation is applied.
Coverage of this history
Selected reporting periods run from 2015-04-01 to 2025-03-31. The SEC response was captured on 2026-09-20.
Selected filing history
| Period start | Period end | Value | Unit | Filed | Source filing |
|---|---|---|---|---|---|
| 2024-04-01 | 2025-03-31 | 49,910 | USD | 2025-06-30 | 10-K · 0001640334-25-001087 |
| 2023-04-01 | 2024-03-31 | 52,548 | USD | 2025-06-30 | 10-K · 0001640334-25-001087 |
| 2022-04-01 | 2023-03-31 | 58,625 | USD | 2024-06-26 | 10-K · 0001640334-24-001017 |
| 2021-04-01 | 2022-03-31 | 57,040 | USD | 2023-07-10 | 10-K · 0001640334-23-001250 |
| 2020-04-01 | 2021-03-31 | 89,828 | USD | 2022-06-27 | 10-K · 0001640334-22-001335 |
| 2019-04-01 | 2020-03-31 | 101,124 | USD | 2021-07-02 | 10-K · 0001640334-21-001482 |
| 2018-04-01 | 2019-03-31 | 89,016 | USD | 2020-05-26 | 10-K · 0001640334-20-001303 |
| 2017-04-01 | 2018-03-31 | 115,613 | USD | 2019-06-26 | 10-K · 0001640334-19-001237 |
| 2016-04-01 | 2017-03-31 | 1,793 | USD | 2018-07-23 | 10-K · 0001640334-18-001450 |
| 2015-04-01 | 2016-03-31 | 57,023 | USD | 2017-06-30 | 10-K · 0001640334-17-001346 |
Related financial histories
- PETROGAS COMPANY: total assets
- PETROGAS COMPANY: total liabilities
- PETROGAS COMPANY: stockholders equity
- PETROGAS COMPANY: cash and cash equivalents
- PETROGAS COMPANY: net income or loss
- PETROGAS COMPANY: operating cash flow
- PETROGAS COMPANY: revenue
- PETROGAS COMPANY: financing cash flow
- PETROGAS COMPANY: investing cash flow
- PETROGAS COMPANY: retained earnings or deficit
- PETROGAS COMPANY: share-based compensation expense
- PETROGAS COMPANY: operating income or loss
- PETROGAS COMPANY: current assets
- PETROGAS COMPANY: current liabilities
- PETROGAS COMPANY: operating expenses
Inspect the source
- Entity
- PETROGAS COMPANY / CIK 0001609258
- Captured
- 2026-09-20T09:26:32.425Z
- SEC response SHA-256
83b84b87fc0b93cb940c5df44f928122cb2268558976ee63670d1fe54c4c97bd
Current SEC company facts · Download the original response snapshot (gzip) · Download the selected JSON
Latest-filed annual-report facts per unit and reporting period at capture time. Duration facts cover 300 to 400 days. This selection can include restatements and is not a point-in-time backtest dataset. Missing concepts are omitted, never zero-filled. Values retain original units and are not currency converted. Extended concepts require compatible unit shapes and at least three reporting ends with changing values within one unit. Constant or incompatible added histories are omitted.
Public company accounting reference, not market prices, returns, an investment recommendation, or ALPHAC performance. Validate a separately constructed return series with the validation API; accounting values are not returns.
Use this in research
A financial period ends before its results become public. Use the filing date as a minimum availability boundary, inspect amendments, and retain the original filing vintage when testing historical signals. This latest-filed selection can contain information unavailable at the time.
These pages do not supply prices, total-return histories, corporate-action adjustments or a tradable universe. Build those inputs separately before evaluating a strategy. A profitable backtest can still reflect selection bias or costs that were left out.
Research methodology · Execution and cost assumptions · Check backtest overfitting
Build with the open-source tools
Use these accounting records as inspectable inputs. When you have constructed a return series, the validation tools can help test its statistical evidence and preserve the result with its limitations.
- Get an API key and run your first validation
- Connect the MCP server to your coding assistant
- Inspect the ALPHAC engine on GitHub
- Read the MCP server source and integration examples
Read the published dataset with Python
import json
from urllib.request import urlopen
with urlopen("https://canlicapital.com/company-data/0001609258.json") as response:
record = json.load(response)
print(record["fetched_at"])
print(record["policy"])
for concept in record["concepts"]:
print(concept["tag"], next(iter(concept["observations"])))